I am a seasoned Data Scientist skilled in data management, analysis, and quality assurance, I specialise in transforming complex data into actionable insights. I possess a strong foundation in clinical research processes and a solid understanding of database development and data management systems. I thrive in cross-functional teams, collaborating seamlessly with clinical research associates, project leads, quality assurance professionals, and fellow DM teams to achieve collective goals. With a proactive problem-solving approach and excellent time management skills, I am dedicated to delivering results that drive business success and improve decision-making processes. In addition, I am a positively evolving specialist, always eager to explore new opportunities and contribute to the ever-evolving field of data science and lastly, I am a seasoned trainer with immense capacity to disseminate knowledge to the highest level required.
• Assisted with student enrolment by handling different queries and issues. • Managed student data using SITS and CRM. • Served as the first point of contact for students and other stake holders. • Multi-tasked in a fast-paced environment. • Maintained detailed records and ensured data accuracy.
• Provided data management solutions for pharmaceutical companies conducting clinical trials from study start-up to study close-out. • Participated in Database Building, Development of Edit Checks, User Acceptance Testing, Data Cleaning, SAE Reconciliation, Lab Data Reconciliation (Local and Central Lab) ,Test scripts writing, Development of Study Documents like (CCGs, DMPs) • Applied statistical analysis and machine learning techniques to extract valuable insights from healthcare data. • Performed other wide variety of tasks such as cleaning and preparing data, analysing and visualising data, creating reports and dashboards to relay results to healthcare professionals and other stakeholders. • Assisted in the design, analysis, and interpretation of clinical trials, including patient stratification and endpoint determination. • Coached, developed, and motivated team members, providing coaching, and mentoring to junior data scientists on SAS and data mining techniques. • Engaged in ongoing professional development by attending workshops, webinars, and courses related to healthcare and data science.
Cultivated good relationships with different marketing individuals to grow influence. •Prepared official reports and technical papers outlining operations, growth and organizational goals. •Evaluated documents, briefs and reports submitted by subordinate ambassadors. •Represented organization publicly at events, meetings and conferences.